Embedding AI Agents Into Industrial Data Pipelines: What Manufacturers Should Watch
AI agents embedded directly inside industrial data pipelines, rather than layered on top as analytics, are now operationally viable for manufacturers. At Cognite’s 2025 event, SVP Laxmi Akkaraju outlined how this approach delivers autonomous root cause…
AI in Energy Is Growing Up: From Analytics to Real Operations
AI in energy has moved past dashboards and reports. According to Simon Williams, Chief AI Officer at ATELIC, industrial AI now detects equipment fatigue hours before failure, adjusts production flows automatically, and predicts energy demand shifts…
Building the Data Foundations for Agentic AI in Manufacturing
Agentic AI in manufacturing requires unified, low-latency data access across ERP, MES, and historian systems. According to Peter Sorowka of Cybus GmbH and Sebastian Trolli of Frost & Sullivan, data silos, missing metadata, and inconsistent architectures…
Agentic AI and IIoT: Complex Questions and Expert Perspectives
At AI Frontiers, the panel on Agentic AI & Integrated Data Workflows generated more questions than could be answered live. To continue the discussion, Andrew Scheuermann, CEO of Arch Systems, recorded a series of short video…
Industrial Copilots: From Assistants to Essential Team Members
In recent years, AI has made significant strides in augmenting human capability across industries. Now, in manufacturing and industrial environments, we are witnessing the emergence of a new class of AI assistants—industrial copilots. These systems are…
From Pilot Purgatory to Generative AI: Building Scalable IIoT and Machine Learning in Manufacturing
Most manufacturing organizations experimenting with generative AI never make it past the pilot stage. Many organizations remain stuck in “pilot purgatory”: running isolated projects that never scale across sites.The promise of IIoT and machine learning in…
AI Frontiers 2025: Driving the Next Revolution in Smart Manufacturing
On Wednesday, September 10, 2025, IIoT World will host AI Frontiers 2025: Driving the Next Revolution in Smart Manufacturing, a free online event bringing together global leaders in AI, industrial data, IIoT, and digital transformation.This one-day virtual conference explores…
Securing Agentic AI with Digital Trust
Agentic AI is rapidly moving from research labs into production environments, powering everything from autonomous workflows in supply chains to connected medical devices and industrial automation. Unlike traditional generative AI, which produces outputs based on prompts,…
Before the AI Magic: Why Manufacturing’s Biggest GenAI Problem Is Still Data
Generative AI promises a revolution on the shop floor—faster decision-making, adaptive production, smarter quality control. But ask any manufacturing leader what’s actually slowing things down, and you won’t hear about algorithms. You’ll hear about data.At IIoT…
AI as a Skill Multiplier in Manufacturing, Not a Replacement
The manufacturing skills gap continues to grow. Rather than viewing AI as a wholesale replacement for human labor, forward-thinking manufacturers are deploying it as a skill multiplier , amplifying the expertise of existing workers so that…
Why AI Success in Manufacturing Starts with Leadership, Not Code
Most conversations about AI in manufacturing focus on algorithms, data pipelines, and compute infrastructure, but the evidence increasingly points to a different success factor: leadership. According to industry research, over 70% of AI pilot projects in…
The AI Gap: Can Manufacturing Keep Up With the Pace of Innovation?
AI is moving faster than most industries can digest. According to data cited during a recent IIoT World session, AI capability is now doubling every 3.5 months—a 100x improvement in a single year. That’s not evolution; that’s…